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The development of highly scalable recommender systems, able to deliver recommendations in real time, is a challenging task. In contrast to traditional recommender systems, recommending news entails additional requirements. These requirements include tight response times, heavy load peaks, and continuously changing collections of users and items. In this… (More)

The huge amount of news articles published every hour makes it hard for users to find the relevant news matching the user's expectations. The main challenges when developing a recommender for the news domain are the continuous changes in the set of items, the context-dependent relevance of items, as well as the requirements with respect to scalability and… (More)